Elena Celledoni
- Numerical Analysis top 1%
- Computational Mechanics top 2%
- Statistical and Nonlinear Physics top 2%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Co-authors
- Brynjulf OwrenG. QuispelRobert I. McLachlanDavid McLarenArieh IserlesVolker GrimmDion O’NealeDavid Cohen
- Topics
- Numerical methods for differential equations (36 papers)Advanced Numerical Methods in Computational Mathematics (17 papers)Model Reduction and Neural Networks (13 papers)
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringMathematics of Computation
- Partner nations
- NorwayAustraliaNew Zealand
In The Last Decade
Elena Celledoni
48 papers receiving 912 citations
Peers
Comparison fields: 5 of 66
- Numerical Analysis 719
- Computational Mechanics 412
- Statistical and Nonlinear Physics 317
- Computational Theory and Mathematics 237
- Electrical and Electronic Engineering 147
Countries citing papers authored by Elena Celledoni
This map shows the geographic impact of Elena Celledoni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Elena Celledoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Celledoni more than expected).
Fields of papers citing papers by Elena Celledoni
This network shows the impact of papers produced by Elena Celledoni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Elena Celledoni. The network helps show where Elena Celledoni may publish in the future.
Co-authorship network of co-authors of Elena Celledoni
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Celledoni. A scholar is included among the top collaborators of Elena Celledoni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elena Celledoni. Elena Celledoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 20 | |
| 12 | 42 | |
| 13 | 12 | |
| 14 | MA8404-Notes on IMEX methods and exponential integrators | 0 |
| 15 | 73 | |
| 16 | 24 | |
| 17 | Special Issue: Advances in Computational Dynamics | 1 |
| 18 | 5 | |
| 19 | 55 | |
| 20 | 33 |
About Elena Celledoni
Elena Celledoni is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Algebra and Number Theory, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Numerical methods for differential equations (36 papers), Advanced Numerical Methods in Computational Mathematics (17 papers) and Model Reduction and Neural Networks (13 papers). The work is most often cited by research in Numerical Analysis (719 citations), Statistical and Nonlinear Physics (317 citations) and Computational Mechanics (412 citations). Elena Celledoni has collaborated with scholars based in Norway, Australia and New Zealand. Frequent co-authors include Brynjulf Owren, G. Quispel, Robert I. McLachlan, David McLaren, Arieh Iserles, Volker Grimm, Dion O’Neale, David Cohen, Arne Marthinsen and Simone Fiori. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.